Every research question opens twenty papers, each with its own methods, samples and caveats, and the notes that connect them live in a dozen files. Rixx takes on the reading, organising and analysis. It researches before it answers, cites every fact from the web inline, and references every claim from your uploads back to the paper and page, so you write with the evidence beside you.
Ask anything: quick, cited answers
Ask a factual question, such as the definition of a construct, the year a method was introduced, or the current guidance from a public health body, and get a researched answer in seconds with sources linked. Many open-access papers, preprints and abstracts are on the public web, and Rixx reads them. See the AI research assistant.
Deep research: a cited background on any topic
For a new topic, a grant section or the context of a chapter, give Rixx a deep research job. It reads many sources and writes a structured report: main hypotheses, key study types, where the evidence agrees and disagrees, and open questions, each point cited. The AI report generator shows the format.
Wide research: many papers, datasets or groups at once
Some research tasks are lists. Compare 15 public datasets on coverage and licence, profile 20 labs working on a technique, or check the funding calls from a dozen agencies. With wide research, Rixx assigns one agent to each item in parallel and merges the results into one table with sources on every row. For applied and industry research, the AI market research generator, AI competitor analysis and AI SWOT analysis cover the standard formats.
Analyse your data and documents: papers in, findings out
Upload your papers. PDFs up to 1,000 pages work, along with Word, Excel, PowerPoint, CSV and images. Ask for the method, the sample or the limitations of one paper, or compare findings across the whole set. Every answer references the paper and page. Summarize multiple PDFs handles a stack of papers in one go, and AI document analysis explains the rest.
For data, Rixx runs Python and other tools in its own private workspace. It cleans your CSV, runs descriptive statistics and the tests you specify, and charts the results, with the code shown so you can check it, rerun it and report it properly. See AI data analysis.
Make the file: matrices, reports and slides
Rixx builds the files research runs on:
- Excel literature matrices and data tables with working formulas. See the AI spreadsheet generator.
- Word and PDF syntheses and background reports with sources kept inside.
- Editable PowerPoint for lab meetings and talks, with native charts. See the AI presentation maker.
For PhD students: the literature review and beyond
The middle years of a PhD are mostly reading, organising and analysing. Rixx helps with each, while the argument stays yours.
- Literature review. Upload your papers and ask for a matrix comparing questions, methods, samples, findings and limitations. Then ask what the set covers well and where it is thin. Treat suggested gaps as leads to check with your supervisor and the primary literature.
- Screening support. Give Rixx your inclusion criteria and a batch of abstracts, and ask it to sort them with a one-line reason each. You make the final calls.
- Chapter background. Get a cited overview of the context for a chapter, read the key sources, and write the chapter yourself.
- Analysis. Upload your data and get reproducible analysis with the code shown, so your methods section is straightforward to write.
- Staying organised. A Project holds the papers, chats and instructions for one chapter or study, and a Skill saves how you like your matrices built.
Follow your university's guidance on AI use and keep your supervisor informed about how you use it.
Worked example: twenty papers to a matrix and a synthesis
The job: "Here are 20 papers on remote work and productivity. Build a literature matrix, group the studies by method, and write a two-page synthesis of where they agree and disagree, with every point cited to a paper and page."
What Rixx hands back:
| Output | What is in it |
|---|---|
| Matrix (.xlsx) | One row per paper, your chosen columns, a page reference in every cell |
| Synthesis (.docx) | Studies grouped by method, agreements and disagreements, each point cited |
| Reading list | The papers most central to each theme, to read in full first |
You read the synthesis against the papers, then write your own section.
Which plan fits researchers
Every plan, including Free, gets every feature. Researchers who read and analyse most days usually choose Plus at $8/month (Starter ₹399 in India) or, for large paper sets and frequent analysis, Pro at $20/month ($200/year; ₹1,799 in India) with 200 credits a day and 20,000 a month. A quick cited answer uses a few credits; a deep report or a job that builds files uses more. See pricing.
Frequently asked questions
Can Rixx help with a literature review?
Yes. Rixx reads your papers, extracts the fields you choose into a matrix with page references, and drafts a cited synthesis that you then check and write up in your own words.
Can Rixx find academic papers?
Rixx searches the public web, which includes many open-access papers, preprints and abstracts. For papers you access through your library, upload the PDFs and Rixx works from them.
Can Rixx analyse my research data?
Yes. Upload CSV or Excel files and Rixx runs Python and other tools in its own private workspace, returning tables, charts and the code so you can check and reproduce the analysis.
How are references handled?
Rixx cites the pages and files it actually read, and each citation links to the source so you can open it before you cite it in your own work.
Is Rixx useful for PhD students?
Yes. PhD students use Rixx for literature matrices, screening support, background research for chapters and reproducible analysis of their data.
Can Rixx make slides for a talk?
Yes. Rixx turns findings into editable PowerPoint slides with native charts, ready for a lab meeting, seminar or conference.